Overview
The consultant will provide advanced health statistics and analytics support to WHO Philippines and DOH counterparts, producing data products and analytical reports to strengthen LGU-level data use and decision-making.
Key Responsibilities
- Statistical analysis and modelling (e.g., target population estimation, time‑series, cohort analysis).
- Data wrangling, quality checks, metadata documentation, and reproducible workflows.
- Development of clear, decision‑friendly visualization products.
- Contribution to methods briefs, analysis notes, and reproducible code repositories.
- Deliverable 1.1: Develop templates and layout for factsheets, LGU profiles, and visual summaries, agreed with WHO.
- Deliverable 1.2: Produce finalized data products (factsheets, profiles, visuals) using datasets provided by WHO/DOH, with clear visualization, metadata, and footnotes.
- Deliverable 1.3: Submit a complete reproducible code package (scripts, assets, documentation).
- Deliverable 2.1: Conduct consultations with key stakeholders (e.g., DOH, LGUs, WHO) to validate findings and gather contextual insights on LGU data-use practices.
- Deliverable 2.2: Draft an analytical report synthesizing findings from DOH/WHO‑provided materials (surveys, interviews, documents).
- Deliverable 2.3: Provide a structured set of recommendations addressing bottlenecks, duplication points, and opportunities to strengthen data‑use culture
- Deliverable 3.1: Prepare a methodology and analysis plan, including assumptions and data inputs.
- Deliverable 3.2: Conduct analysis and produce cleaned scripts and outputs.
- Deliverable 3.3: Prepare a short technical report summarizing methods, results, limitations, and recommendations
- Deliverable 4.1: Provide support in the scheduling, preparation, and coordination of meetings
- Deliverable 4.2: Maintain and update coordination trackers, timelines, and follow‑up activity lists.
- Deliverable 4.3: Facilitate stakeholder consultations and feedback sessions with DOH, LGUs, and partners as part of coordination
Required Experience
- Minimum 5 years of progressively responsible experience in health data analysis, statistical modelling, or epidemiological analytics.
- Demonstrated experience producing decision‑ready data products (factsheets, dashboards, briefs).
- Proficiency in R or Python or other similar software, plus experience with SQL and data visualization tools.
- Experience working with WHO, UN agencies, or government health programs.
- Experience applying statistical methods to LGU‑level or subnational data.
- Familiarity with health information systems in the Philippines.
Qualifications
- Advanced degree (Master’s or higher) in Biostatistics, Health Statistics, Epidemiology, Public Health, or a closely related quantitative health field.
- Additional formal training in data science, statistical modelling, or health informatics.
- Coursework or certification in data visualization or advanced analytics.
